Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts

In order to improve our ability to predict emerging variants of SARS-CoV-2, Katoh and Standley analysed the molecular evolution of the Spike protein. They found a significant correspondence in the location of mutations between recently emerging SARS-CoV-2 variants and their relatives that infected b...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kazutaka Katoh, Daron M. Standley
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Acceso en línea:https://doaj.org/article/c0a3b7f37d1e47a4ae90294b69369136
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c0a3b7f37d1e47a4ae90294b69369136
record_format dspace
spelling oai:doaj.org-article:c0a3b7f37d1e47a4ae90294b693691362021-12-02T15:15:13ZEmerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts10.1038/s42003-021-02663-42399-3642https://doaj.org/article/c0a3b7f37d1e47a4ae90294b693691362021-09-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02663-4https://doaj.org/toc/2399-3642In order to improve our ability to predict emerging variants of SARS-CoV-2, Katoh and Standley analysed the molecular evolution of the Spike protein. They found a significant correspondence in the location of mutations between recently emerging SARS-CoV-2 variants and their relatives that infected bat and pangolin before the pandemic, which could suggest that the sites of future mutations could be predicted by analyzing their relatives that have infected non-human hosts.Kazutaka KatohDaron M. StandleyNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-6 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Kazutaka Katoh
Daron M. Standley
Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
description In order to improve our ability to predict emerging variants of SARS-CoV-2, Katoh and Standley analysed the molecular evolution of the Spike protein. They found a significant correspondence in the location of mutations between recently emerging SARS-CoV-2 variants and their relatives that infected bat and pangolin before the pandemic, which could suggest that the sites of future mutations could be predicted by analyzing their relatives that have infected non-human hosts.
format article
author Kazutaka Katoh
Daron M. Standley
author_facet Kazutaka Katoh
Daron M. Standley
author_sort Kazutaka Katoh
title Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_short Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_full Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_fullStr Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_full_unstemmed Emerging SARS-CoV-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
title_sort emerging sars-cov-2 variants follow a historical pattern recorded in outgroups infecting non-human hosts
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c0a3b7f37d1e47a4ae90294b69369136
work_keys_str_mv AT kazutakakatoh emergingsarscov2variantsfollowahistoricalpatternrecordedinoutgroupsinfectingnonhumanhosts
AT daronmstandley emergingsarscov2variantsfollowahistoricalpatternrecordedinoutgroupsinfectingnonhumanhosts
_version_ 1718387597183549440